Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales Paper • 2506.19713 • Published 2 days ago • 11 • 3
HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling Paper • 2506.20452 • Published about 22 hours ago • 4 • 1
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales Paper • 2506.19713 • Published 2 days ago • 11 • 3
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 20 • 13
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Paper • 2410.02416 • Published Oct 3, 2024 • 32 • 6
Efficient Distillation of Classifier-Free Guidance using Adapters Paper • 2503.07274 • Published Mar 10 • 4 • 1
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Paper • 2410.02416 • Published Oct 3, 2024 • 32 • 6
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Paper • 2410.02416 • Published Oct 3, 2024 • 32 • 6
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 20 • 13
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Paper • 2407.02687 • Published Jul 2, 2024 • 26 • 1
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 20 • 13
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 20 • 13
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 20 • 13